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Alireza Atashi
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2020 – today
- 2024
- [j5]Ali Bahrami
, Rouzbeh Ghousi
Presenting a Two-Stage Hybrid Model for Allocating Advanced Ventilators Using Machine Learning Methods: A Case Study. IEEE Access 12: 151317-151330 (2024) - [c4]Mohammad Maftoun
Improving Prediction of Mortality in ICU via Fusion of SelectKBest with SMOTE Method and Extra Tree Classifier. IWINAC 2024: 68-77 - 2023
- [j4]Arman Ghavidel
An ensemble data mining approach to discover medical patterns and provide a system to predict the mortality in the ICU of cardiac surgery based on stacking machine learning method. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 1316-1326 (2023) - 2020
- [j3]Ramin Ghorbani
A New Hybrid Predictive Model to Predict the Early Mortality Risk in Intensive Care Units on a Highly Imbalanced Dataset. IEEE Access 8: 141066-141079 (2020)
2010 – 2019
- 2019
- [c3]Alireza Atashi, Fariba Tohidinezhad, Sara Dorri, Najmeh Nazeri
Discovery of Hidden Patterns in Breast Cancer Patients, Using Data Mining on a Real Data Set. ICIMTH 2019: 142-145 - [c2]Sara Dorri, Najmeh Nazeri
Colorectal Cancer Registration: Data Approach to Knowledge. ICIMTH 2019: 380-383 - 2018
- [c1]Alireza Atashi, Masoumeh Sarbaz, Sina Marashi, Fatemeh Hajialiasgari, Saeid Eslami:
Intensive Care Decision Making: Using Prognostic Models for Resource Allocation. ICIMTH 2018: 145-148 - 2016
- [j2]Alireza Atashi, Reza Khajouei
Erratum: User Interface Problems of a Nationwide Inpatient Information System: A Heuristic Evaluation. Appl. Clin. Inform. 07(01): 1- (2016) - [j1]Alireza Atashi, Amirabbas Azizi
User Interface Problems of a Nationwide Inpatient Information System: A Heuristic Evaluation. Appl. Clin. Inform. 07(01): 89-100 (2016)
Coauthor Index
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last updated on 2024-11-07 21:36 CET by the dblp team
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